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Graphene Wrapping of Electrospun Nanofibers for Enhanced Electrochemical Sensing.


ABSTRACT: This paper presents a scalable method of developing ultrasensitive electrochemical biosensors. This is achieved by maximizing sensor conductivity through graphene wrapping of carbonized electrospun nanofibers. The effectiveness of the graphene wrap was determined visually by scanning electron microscopy and chemically by Fourier transform infrared spectroscopy, Raman spectroscopy, and X-ray diffraction. The sensing performance of different electrode samples was electrochemically characterized using cyclic voltammetry and electrochemical impedance spectroscopy, with the graphene-wrapped carbonized nanofiber electrode showing significantly improved performance. The graphene-wrapped carbonized nanofibers exhibited a relative conductivity of ∼14 times and an electroactive surface area of ∼2 times greater compared to the bare screen-printed carbon electrode despite experiencing inhibitive effects from the carbon glue used to bind the samples to the electrode. The results indicate potential for a highly conductive, inert sensing platform.

SUBMITTER: Tsiamis A 

PROVIDER: S-EPMC8153741 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Graphene Wrapping of Electrospun Nanofibers for Enhanced Electrochemical Sensing.

Tsiamis Andreas A   Diaz Sanchez Francisco F   Hartikainen Niklas N   Chung Michael M   Mitra Srinjoy S   Lim Ying Chin YC   Tan Huey Ling HL   Radacsi Norbert N  

ACS omega 20210413 16


This paper presents a scalable method of developing ultrasensitive electrochemical biosensors. This is achieved by maximizing sensor conductivity through graphene wrapping of carbonized electrospun nanofibers. The effectiveness of the graphene wrap was determined visually by scanning electron microscopy and chemically by Fourier transform infrared spectroscopy, Raman spectroscopy, and X-ray diffraction. The sensing performance of different electrode samples was electrochemically characterized us  ...[more]

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